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Estimating bedding orientation from high-resolution digital elevation models


Cracknell, MJ and Roach, M and Green, D and Lucieer, A, Estimating bedding orientation from high-resolution digital elevation models, IEEE Transactions on Geoscience and Remote Sensing, 51, (5) pp. 2949-2959. ISSN 0196-2892 (2013) [Refereed Article]

Copyright Statement

Copyright 2012 IEEE

DOI: doi:10.1109/TGRS.2012.2217502


A high-resolution digital elevation model (DEM), generated from airborne light detection and ranging (LiDAR) remote sensing data, is used here to estimate the 3-D orientation of bedding planes. Methods for enhancement, manual identification and extraction of lineaments, and estimation of best fit planes representing bedding are presented and evaluated for a study area in foldedmetasedimentary rocks in northeast Tasmania, Australia. Estimated bedding plane dip directions are shown to be accurate and reliable when compared with field-based observations. The same cannot be said for dip angle estimates. It is likely that small errors in the location of a manually digitized lineament will affect dip estimation more than dip direction estimation, particularly for steeply dipping structures. Fold axis orientations calculated from the stereographic analysis of estimated bedding closely correspond to orientations determined from field data. The mean absolute differences standard error for 12 of the 14 regularly spaced domains located within the study area were 8.7 1.2 for the fold plunge and 4.9 0.9 for the fold trend. The techniques described here for the extraction of bedding plane orientations from high-resolution DEMs complement field-based geological mapping and can assist structural interpretations.

Item Details

Item Type:Refereed Article
Keywords:digital elevation model (DEM), geographic information system (GIS), geology, light detection and ranging (LiDAR), lineament, remote sensing, Tasmania
Research Division:Earth Sciences
Research Group:Physical geography and environmental geoscience
Research Field:Geomorphology and earth surface processes
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Cracknell, MJ (Dr Matthew Cracknell)
UTAS Author:Roach, M (Dr Michael Roach)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:85220
Year Published:2013
Web of Science® Times Cited:13
Deposited By:Geography and Environmental Studies
Deposited On:2013-06-19
Last Modified:2017-11-03

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